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- Currently displaying 161 - 180 of 270 publications
Faster PET reconstruction with non-smooth priors by randomization and preconditioning
– Physics in Medicine and Biology
(2019)
64,
225019
(doi: 10.1088/1361-6560/ab3d07)
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems
– Journal of Mathematical Imaging and Vision
(2019)
62,
376
(doi: 10.1007/s10851-019-00902-2)
Stability analysis of line patterns of an anisotropic interaction model
– SIAM Journal on Applied Dynamical Systems
(2019)
18,
1798
(doi: 10.1137/18m1181638)
GraphXNET− Chest X-Ray Classification Under Extreme Minimal Supervision
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI
(2019)
11769 LNCS,
504
(doi: 10.1007/978-3-030-32226-7_56)
On an effective multigrid solver for solving a class of variational problems with application to image segmentation
– International Journal of Computer Mathematics
(2019)
97,
2015
RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect
– Proceedings of the IEEE International Conference on Computer Vision
(2019)
00,
7303
(doi: 10.1109/iccv.2019.00740)
Artificial intelligence in clinical imaging: a health system approach
– Clin Radiol
(2019)
75,
3
(doi: 10.1016/j.crad.2019.09.122)
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
– APL Materials
(2019)
7,
091111
(doi: 10.1063/1.5120093)
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
– APL Materials
(2019)
7,
(doi: 10.1063/1.5120093)
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
– CoRR
(2019)
abs/1908.05285,
Chan-Vese Reformulation for Selective Image Segmentation.
– J Math Imaging Vis
(2019)
61,
1173
(doi: 10.1007/s10851-019-00893-0)
Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations
(2019)
(doi: 10.1101/686261)
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal
– IEEE Trans Image Process
(2019)
28,
6185
(doi: 10.1109/tip.2019.2923559)
Semi-Supervised Learning with Graphs: Covariance Based Superpixels for Hyperspectral Image Classification
– International Geoscience and Remote Sensing Symposium (IGARSS)
(2019)
00,
592
(doi: 10.1109/igarss.2019.8898189)
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised
Classification with the 1-Laplacian Graph Energy
(2019)
Solving inverse problems using data-driven models
– Acta Numerica
(2019)
28,
1
(doi: 10.1017/S0962492919000059)
Total Directional Variation for Video Denoising.
– Lecture Notes in Computer Science
(2019)
11603,
522
(doi: 10.1007/978-3-030-22368-7_41)
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions
– Lecture Notes in Computer Science
(2019)
11603 LNCS,
485
(doi: 10.1007/978-3-030-22368-7_38)
An anisotropic interaction model for simulating fingerprints.
– Journal of Mathematical Biology
(2019)
78,
2171
(doi: 10.1007/s00285-019-01338-3)
Template-Based Image Reconstruction from Sparse Tomographic Data
– Applied Mathematics and Optimization
(2019)
82,
1081
(doi: 10.1007/s00245-019-09573-2)